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BURIDAN: Extension of SNLP that models probabilistic conditional outcomes.

areas/planning/systems/buridan/
This directory contains BURIDAN, an extension of SNLP which breaks free from the tortuous chains of STRIPS-style operators by modeling probabilistic, conditional outcomes. Whereas classical planners' primitive is of the form "Generate a plan that provably achieves goal G", BURIDAN responds to requests of the form "Generate a plan that, with probability at least tau, will achieve goal G". It also includes the VCR graphical plan browser, which requires CLIM.
Origin:   

   cs.washington.edu:/pub/ai/buridan.tar.Z

Version: 22-OCT-93 Requires: Common Lisp, CLIM Copying: Copyright (c) 1992 University of Washington Use, copying, and distribution permitted for non-commercial research purposes. If you use this software, please send a mail message to bug-snlp@cs.washington.edu. CD-ROM: Prime Time Freeware for AI, Issue 1-1 Bug Reports: bug-snlp@cs.washington.edu Author(s): Nick Kushmerick, S. Hanks, Dan Weld, Tony Barrett Keywords: Authors!Barrett, Authors!Hanks, Authors!Kushmerick, Authors!Weld, BURIDAN, CLIM!Code, Conditional Planning, Lisp!Code, Planning, Probabilistic Planning, SNLP, STRIPS, VCR References: N. Kushmerick, S. Hanks and D. Weld, "An Algorithm for Probabilistic Planning", UWCSE Technical Report TR-93-06-03, June 1993. [Submitted to AIJ.]
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